GraphTinker: Outlier rejection and inlier injection for pose graph SLAM. - Linhai Xie; Sen Wang 002; Andrew Markham; Niki Trigoni (IROS, 2017)

Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning. - Linhai Xie; Sen Wang 002; Andrew Markham; Niki Trigoni (CoRR, 2017)

DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks. - Zhihua Wang 005; Stefano Rosa; Linhai Xie; Bo Yang 027; Sen Wang 002; Niki Trigoni; Andrew Markham (ICRA, 2018)

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning. - Linhai Xie; Sen Wang 002; Stefano Rosa; Andrew Markham; Niki Trigoni (ICRA, 2018)

Simultaneous Localization and Mapping with Power Network Electromagnetic Field. - Chris Xiaoxuan Lu; Yang Li 147; Peijun Zhao; Changhao Chen; Linhai Xie; Hongkai Wen 001; Rui Tan 001; Niki Trigoni (MobiCom, 2018)

Neural Allocentric Intuitive Physics Prediction from Real Videos. - Zhihua Wang 005; Stefano Rosa; Yishu Miao; Zihang Lai; Linhai Xie; Andrew Markham; Niki Trigoni (CoRR, 2018)

Learning with Stochastic Guidance for Navigation. - Linhai Xie; Yishu Miao; Sen Wang 002; Phil Blunsom; Zhihua Wang 005; Changhao Chen; Andrew Markham; Niki Trigoni (CoRR, 2018)

MotionTransformer: Transferring Neural Inertial Tracking between Domains. - Changhao Chen; Yishu Miao; Chris Xiaoxuan Lu; Linhai Xie; Phil Blunsom; Andrew Markham; Niki Trigoni (AAAI, 2019)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. - Qingyong Hu; Bo Yang 027; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang 005; Niki Trigoni; Andrew Markham (CVPR, 2020)

SnapNav: Learning Mapless Visual Navigation with Sparse Directional Guidance and Visual Reference. - Linhai Xie; Andrew Markham; Niki Trigoni (ICRA, 2020)

Heart Rate Sensing with a Robot Mounted mmWave Radar. - Peijun Zhao; Chris Xiaoxuan Lu; Bing Wang 013; Changhao Chen; Linhai Xie; Mengyu Wang; Niki Trigoni; Andrew Markham (ICRA, 2020)

Watch and Learn: Mapping Language and Noisy Real-world Videos with Self-supervision. - Yujie Zhong; Linhai Xie; Sen Wang 002; Lucia Specia; Yishu Miao (CoRR, 2020)

Learning With Stochastic Guidance for Robot Navigation. - Linhai Xie; Yishu Miao; Sen Wang 002; Phil Blunsom; Zhihua Wang 005; Changhao Chen; Andrew Markham; Niki Trigoni (IEEE Trans. Neural Networks Learn. Syst., 2021)

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. - Qingyong Hu; Bo Yang 027; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang 005; Niki Trigoni; Andrew Markham (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Review on Predicting Drug Target Interactions Based on Machine Learning. - Wen Shi; Dandan Peng; Jinyuan Luo; Guozhu Chen; Hong Yang 003; Linhai Xie; Xiao-Xia Yin; Yanchun Zhang (HIS, 2023)

CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis. - Jinyuan Luo; Zikai Xiao; Wen Shi; Linhai Xie; Hong Yang 003; Xiaoxia Yin; Yanchun Zhang (ICDM, 2023)

Multiscale Residual Network with Dynamic Depthwise Convolution for Multi-label 12-Lead ECG Classification. - Linhai Xie; Yilei Man; Delong Shang (IJCNN, 2024)

BioDSNN: a dual-stream neural network with hybrid biological knowledge integration for multi-gene perturbation response prediction. - Yuejun Tan; Linhai Xie; Hong Yang 003; Qingyuan Zhang; Jinyuan Luo; Yanchun Zhang (Briefings Bioinform., 2024)

Automating Exploratory Proteomics Research via Language Models. - Ning Ding 002; Shang Qu; Linhai Xie; Yifei Li; Zaoqu Liu; Kaiyan Zhang; Yibai Xiong; Yuxin Zuo; Zhangren Chen; Ermo Hua; Xingtai Lv; Youbang Sun; et al. (CoRR, 2024)

Differentiable architecture search with multi-dimensional attention for spiking neural networks. - Yilei Man; Linhai Xie; Shushan Qiao; Yumei Zhou; Delong Shang (Neurocomputing, 2024)

Introducing π-HelixNovo for practical large-scale de novo peptide sequencing. - Tingpeng Yang; Tianze Ling; Boyan Sun; Zhendong Liang; Fan Xu; Xiansong Huang; Linhai Xie; Yonghong He; Leyuan Li; Fuchu He; Yu Wang; Cheng Chang (Briefings Bioinform., 2024)

A review of machine learning-based methods for predicting drug-target interactions. - Wen Shi; Hong Yang 003; Linhai Xie; Xiao-Xia Yin; Yanchun Zhang (Health Inf. Sci. Syst., 2024)

Automating Exploratory Multiomics Research via Language Models. - Shang Qu; Ning Ding 002; Linhai Xie; Yifei Li; Zaoqu Liu; Kaiyan Zhang; Yibai Xiong; Yuxin Zuo; Zhangren Chen; Ermo Hua; Xingtai Lv; Youbang Sun; et al. (CoRR, 2025)